I. In-Residence Sessions
Slides
Day 1
Day 2: Customers as Assets
Day 2
Day 3: Customer Metrics
Day 3
Day 4: Customer Loyalty
Day 4
II. Distance Sessions
1: Customer Economics
2: Customer Lifetime Value Analysis
3: RFM Analysis
4: Evaluating Models: Lifts and Gains
5: Marketing Analytics
6: Predictive Models: Logistic Regression
7: Customer Relationship Strategy in Practice: Industry Applications
8: Predictive Models: Data Mining & Decision Trees
9: Final Thoughts: Do's and Don'ts!
10: Final Exam
[CRM Strategy] [Course Guidebook] [Course Roadmap] [Additional Reading] [CRM Practices]